Literature DB >> 15826861

Variability in spatial normalization of pediatric and adult brain images.

Marco R Hoeksma1, J Leon Kenemans, Chantal Kemner, Herman van Engeland.   

Abstract

OBJECTIVE: Normalization of brain images is a necessity for group comparisons of source analyses based on realistic head models. In this paper we compared the outcome of a linear registration method for brain images of psychiatric and control groups of different ages in order to assess the relative adequacy of normalization in such diverse groups.
METHODS: Magnetic Resonance images (MRI) of the brains of pediatric and adolescent subjects (mean ages 19 and 10.5 years) with a pervasive developmental disorder (PDD) and their healthy controls were included. A simple voxel-wise test of the group variances in image intensities was performed to evaluate regional differences in registration quality. Dipole analysis of visual P1 was performed to establish whether source locations were comparable across groups.
RESULTS: Significant differences between pediatric groups were found in white matter and thalamic regions of the brain. For all other group-wise comparisons, differences were confined to skull and neck regions. Dipole locations were found to be more anteriorly located in the adolescent groups.
CONCLUSIONS: The normalization procedure used in this paper is based on a brain template of normal adult brains from a restricted age group, and the results show that the use of this method in pediatric groups is less adequate. The method seems suitable for use in psychiatric groups. Also, the generators of visual P1 in PDD patients were found to be comparable to controls. SIGNIFICANCE: The results suggest that this existing normalization method can be used in diverse populations, but is less suitable for pediatric images.

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Mesh:

Year:  2005        PMID: 15826861     DOI: 10.1016/j.clinph.2004.12.021

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  23 in total

Review 1.  Shifting from region of interest (ROI) to voxel-based analysis in human brain mapping.

Authors:  Loukas G Astrakas; Maria I Argyropoulou
Journal:  Pediatr Radiol       Date:  2010-05-13

2.  A New MRI-Based Pediatric Subcortical Segmentation Technique (PSST).

Authors:  Wai Yen Loh; Alan Connelly; Jeanie L Y Cheong; Alicia J Spittle; Jian Chen; Christopher Adamson; Zohra M Ahmadzai; Lillian Gabra Fam; Sandra Rees; Katherine J Lee; Lex W Doyle; Peter J Anderson; Deanne K Thompson
Journal:  Neuroinformatics       Date:  2016-01

Review 3.  ERPs and eye movements reflect atypical visual perception in pervasive developmental disorder.

Authors:  Chantal Kemner; Herman van Engeland
Journal:  J Autism Dev Disord       Date:  2006-01

4.  Resting-state networks in awake five- to eight-year old children.

Authors:  Henrica M A de Bie; Maria Boersma; Sofie Adriaanse; Dick J Veltman; Alle Meije Wink; Stefan D Roosendaal; Frederik Barkhof; Cornelis J Stam; Kim J Oostrom; Henriette A Delemarre-van de Waal; Ernesto J Sanz-Arigita
Journal:  Hum Brain Mapp       Date:  2011-04-25       Impact factor: 5.038

Review 5.  Functional connectivity MRI in infants: exploration of the functional organization of the developing brain.

Authors:  Christopher D Smyser; Abraham Z Snyder; Jeffrey J Neil
Journal:  Neuroimage       Date:  2011-03-03       Impact factor: 6.556

6.  A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain.

Authors:  Marco Ganzetti; Quanying Liu; Dante Mantini
Journal:  Neuroinformatics       Date:  2018-04

7.  How much are clinical fMRI reports influenced by standard postprocessing methods? An investigation of normalization and region of interest effects in the medial temporal lobe.

Authors:  Roland Beisteiner; Nicolaus Klinger; Ilse Höllinger; Jakob Rath; Susanne Gruber; Thomas Steinkellner; Thomas Foki; Alexander Geissler
Journal:  Hum Brain Mapp       Date:  2010-03-04       Impact factor: 5.038

8.  Unbiased average age-appropriate atlases for pediatric studies.

Authors:  Vladimir Fonov; Alan C Evans; Kelly Botteron; C Robert Almli; Robert C McKinstry; D Louis Collins
Journal:  Neuroimage       Date:  2010-07-23       Impact factor: 6.556

9.  Infant brain probability templates for MRI segmentation and normalization.

Authors:  Mekibib Altaye; Scott K Holland; Marko Wilke; Christian Gaser
Journal:  Neuroimage       Date:  2008-08-13       Impact factor: 6.556

10.  Multidimensional morphometric 3D MRI analyses for detecting brain abnormalities in children: impact of control population.

Authors:  Marko Wilke; Douglas F Rose; Scott K Holland; James L Leach
Journal:  Hum Brain Mapp       Date:  2013-11-04       Impact factor: 5.038

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